This is the release note of v11.1.0. See here for the complete list of solved issues and merged PRs.

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Highlights

Jetson AGX Orin Support (#6876)

Arm (aarch64) wheels are now compiled with support for compute capability 8.7.
These wheels are available through our Pip index: pip install cupy-cuda11x -f https://pip.cupy.dev/aarch64

Changes

New Features

• Add cupyx.scipy.special.log_softmax (#6966)

Enhancements

• Update cupy.array_api (#6929)
• Add CC 8.7 for Jetson Orin (#6950)
• Accept kind in sort/argsort and fix cupy.array_api.{sort,argsort} accordingly (#6951)
• Fix augassign target is evaluated twice in JIT (#6964)
• Update cupy.array_api (cont'd) (#6973)
• Support SciPy 1.9 (#6981)
• Enhance JIT error message when __device__ option is missing (#6991)
• JIT: Add type annotation in _compile.py (#6993)
• Make testing decorators able to use with @pytest.mark.parametrize in some cases (#7010)
• Support keepdims parameter for average (#6897)
• Support equal_nan parameter for unique (#6904)

Bug Fixes

• Fix CUB reduction with zero-size arrays (#6968)
• Fix cuTensorNet shim layer (#6979)
• Fix SciPy dependency leak (#6980)
• Fix occasional hang in sparse distributed (#6997)
• Let argpartition use the kth argument properly (#7020)

Code Fixes

• Remove proxy functions for softlink (#6946)
• Suppress nvcc warning (#6970)

Documentation

• Document matmul supports out (#6899)
• Bump documentation build requirements (#6930)
• Expand breaking change & best practice on device management (#6952)
• Fix docs build failure (#6967)

Tests

• Fix XFAIL for tests/cupyx_tests/scipy_tests/sparse_tests/test_coo.py when scipy>=1.9.0rc2 (#6963)
• Use ubuntu-22.04 as GitHub Actions runner image (#6992)
• Revert comment fix (#6996)
• Filter warnings from setuptools 65 (#7004)
• CI: bump CUDA version used in cuda-python test (#7023)
• CI: Show all errors when doc build fail (#6945)

Contributors

The CuPy Team would like to thank all those who contributed to this release!

@asi1024 @emcastillo @khushi-411 @kmaehashi @leofang @takagi @toslunar